At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.

　　With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

　　Learn more on Life at Now blog (https://blogs.servicenow.com/category/life-at-now.html) and hear from our employees (https://www.youtube.com/playlist?list=PLtPPHGXv_JpmhypERyQKm5zO2Wd65QinB) about their experiences working at ServiceNow.

　　Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

　　As a Lead Data Engineer, you will play a crucial role in designing, implementing, and improving the quality of our data infrastructure (e.g. processes, data storage, data pipelines). You will lead a team of data engineers and collaborate with other teams of data scientists, engineers, designers, product teams, and business stakeholders to ensure the efficient and reliable flow of data to support our workforce intelligence products. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a passion for leveraging data to answer business questions. This position reports to the Director, Employee Workflows Data Science.

　　Responsibilities include:

　　Lead and mentor a team of data engineers, providing guidance and support to ensure successful project deliveries.

　　Foster a collaborative and innovative team culture, encouraging continuous learning and professional development.

　　Collaborate with data scientists, analysts, and product development to understand data requirements and ensure data solutions meet business needs.

　　Work closely with Advanced Technology Group (ATG) teams to accelerate production and deployment times for ML services.

　　Oversee the integration of data from various sources, ensuring data consistency, accuracy, and reliability.

　　Implement ETL processes to transform raw data into a usable format for analysis and reporting.

　　Establish and enforce data governance best practices, including data quality, metadata management, and data lineage.

　　Recommend and implement data quality testing and data pipeline tests for infrastructure and code.

　　Experience working with PII data and identifying security risks in data pipelines.

　　Lead the deployment and documentation of Java and Python APIs, and the design of DAG-based workflow frameworks for deploying and running APIs.

　　Lead the design of AB rollouts, logging, and developing best practices for deployment, and syncing data between applications, databases, logs, etc.

　　Experience with building data pipelines in an Infrastructure-as-Code environment (e.g. Terraform).

　　Continuously monitor and optimize data processing and storage systems for performance and efficiency.

　　Troubleshoot and resolve data-related issues in a timely manner.

　　Communicate effectively with technical and non-technical stakeholders to ensure alignment on data strategies and solutions.

　　Implementing ETL and preprocessing data pipelines with a preference for automation.

　　Stay informed about emerging technologies in the data engineering space and assess their potential for adoption within the organization.

　　Evaluate and recommend tools, frameworks, and architectures to enhance the data engineering capabilities of the team.

　　Remotely collaborate with a geographically distributed team and be willing to pitch in to perform other tasks when you see such opportunities.

　　Bachelor's or Master's degree in computer science, engineering, or a related field.

　　5+ years of experience in consulting, business intelligence, analytics, or an equivalent analyst position with experience in PL/SQL and an additional object-oriented programming language (e.g., Python, Java, JavaScript)

　　Proven experience as a Data Engineer, with a track record of designing and implementing complex data solutions.

　　Strong proficiency in data modeling, ETL processes, and data integration techniques.

　　Experience with big data technologies such as Hadoop, Spark, and related ecosystems.

　　Proficient in programming languages such as Python, Java, or Scala.

　　Excellent leadership and team management skills.

　　Strong problem-solving and analytical abilities.

　　Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud.

　　Knowledge of data governance and security best practices.

　　Very familiar with putting Python and Java scripts into data pipeline cloud deployments. Additional experience with machine learning frameworks and applications preferred.

　　Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs.

　　Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.

　　Attention to detail, organization and effective verbal/written communication skills.

　　Experience in big data instances: Cloudera, Azure, Snowflake, and the like.

　　Proven track record in rolling out self-service analytics solutions (e.g. Tableau Server Ask Data, etc).

　　SQL, data warehousing, and ETL pipeline tool experience.

　　Familiar with devops, CI/CD and using gitlab to collaborate in an Agile environment.

　　Cloud computing and cloud database experience, preferably with AWS (Redshift, S3, ECS, Sagemaker, Lambda, Pipeline, etc).

　　Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders.

　　Understanding of technology development projects and the full technology. development lifecycle, and experience working with agile development teams.

　　Communication. Excellent oral and written communication skills.

　　Solid decision making, negotiation, and persuasion skills, often in ambiguous situations.

　　Must be able to work in fast paced environment and be able to adapt to changing requirements.

　　ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

　　At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) to learn about our work personas: flexible, remote and required-in-office.

　　If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

　　For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

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